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Abstract Background Pepper (Capsicum pubescens), one of five domesticated pepper species, has unique characteristics, such as numerous hairs on the epidermis of its leaves and stems, black seeds, and vibrant purple flowers. To date, no studies have reported on the complete assembly of the mitochondrial genome (mitogenome) of C. pubescens. Understanding the mitogenome is crucial for further research on C. pubescens. Results In our study, we successfully assembled the first mitogenome of C. pubescens, which was assigned the GenBank accession number OP957066. This mitogenome has a length of 454,165 bp and exhibits the typical circular structure observed in most mitogenomes. We annotated a total of 70 genes, including 35 protein-coding genes (PCGs), 30 tRNA genes, 3 rRNA genes, and 2 pseudogenes. Compared to the other three pepper mitogenomes (KJ865409, KJ865410, and MN196478), C. pubescens OP957066 exhibited four unique PCGs (atp4, atp8, mttB, and rps1), while two PCGs (rpl10 and rps3) were absent. Notably, each of the three pepper mitogenomes from C. annuum (KJ865409, KJ865410, and MN196478) experienced the loss of four PCGs (atp4, atp8, mttB, and rps1). To further explore the evolutionary relationships, we reconstructed a phylogenetic tree using the mitogenomes of C. pubescens and fourteen other species. Structural comparison and synteny analysis of the above four pepper mitogenomes revealed that C. pubescens shares high sequence similarity with KJ865409 and that C. pubescens has rearranged with the other three pepper mitogenomes. Interestingly, we observed 72 similar sequences between the mitochondrial and chloroplast genomes, which accounted for 12.60% of the mitogenome, with a total length of 57,207 bp. These sequences encompassed 12 tRNA genes and the rRNA gene (rrn18). Remarkably, selective pressure analysis suggested that the nad5 gene underwent obvious positive selection. Furthermore, a single-base mutation in three genes (nad1, nad2, and nad4) resulted in an amino acid change. Conclusion This study provides a high-quality mitogenome of pepper, providing valuable molecular data for future investigations into the exchange of genetic information between pepper organelle genomes.

Abstract This analysis delves into the profound influence of the petrochemical sector on carbon emissions, highlighting the insufficient data that impedes the formulation of effective emission reduction strategies. By concentrating on the unique challenges within this industry, the study employs a sophisticated decision-making model to explore the complex interconnections between carbon emissions, mitigation approaches, and investment choices. The primary objectives include boosting energy efficiency, refining CO2 reduction initiatives, and cutting associated costs. To navigate the intricacies of carbon footprint assessment, the research introduces a novel hybrid framework that merges scientific modeling with a code-based prototype to aid in strategic planning. The efficacy of this approach is validated by experts, demonstrating its versatility and adaptability through CNHS mapping, which enables the customization of emission reduction strategies across different scenarios.

Abstract Drought stress imposes a serious challenge to cultivate wheat, restricting its growth. Drought reduces the capability of plant to uptake essential nutrients. This causes stunted growth, development and yield. Traditional ways to increase wheat growth under drought stress have shortcomings. Using plant-growth-promoting rhizobacteria (PGPR) has proved feasible and eco-friendly way to enhance wheat growth even under the drought stress. Combining PGPR in consortiums further boosts up their effects. In this study, we have checked the efficacy of drought-tolerant Bacillus halotolerans, Pseudomonas sihuiensis and Bacillus atrophaeus in combination. These strains were allowed to grow on PEG 6000 with concentrations (-0.15, -0.49, -0.73 and − 1.2) Mega Pascal (MPa) alone and in combination. Furthermore, Fourier transmission infrared (FTIR) spectroscopy and scanning electron microscopy (SEM) were used. Their biochemical traits such as solubilization of K, P and Zn and the synthesis of siderophore, indole acetic acid (IAA), protease, amylase, hydrogen cyanide (HCN) and 1-aminocyclopropane-1-carboxylate (ACC) deaminase were done. In addition to this, we investigated the optimum folic acid concentration i.e 150 ppm for wheat against drought stress. We conducted a pot experiment to check the growth-enhancing and drought-mitigating effects of consortium and folic acid alone and in combination. As a result, we found a significantly increased wheat biomass, relative water content (RWC), chlorophyll content, antioxidants including glutathione reductase and total soluble sugars and protein content under all treatments. However, the combined treatment of bacterial consortium and folic acid showed maximum potential to boost wheat growth and survival even under drought. We also investigated the minerals uptake by wheat after the treatments and found maximum nutrient uptake under the co-effect of folic acid and bacterial consortium We believe this is the first study that has investigated the optimal dose of folic acid for wheat. Our research is also novel in that we seek to investigate the effects of folic acid along with a bacterial consortium comprising Bacillus halotolerans, Pseudomonas sihuiensis and Bacillus atrophaeus on wheat grown under the drought stress.

Objective This study investigated the impact of supplementation of protease and organic acid on growth performance and other biological parameters in broilers fed poultry by-product meal (PBM) based diet. Methods Five hundred 1-day-old broiler chicks (Ross 308) were distributed into five treatments with 5 replicates, each pen having 20 birds, and fed each group one of five isocaloric and isonitrogenous diets in two phases: stater phase (1 to 21 days) metabolizable energy (ME) 3000 kcal/kg; crude protein (CP) 22%, and a finisher phase (22 to 35 days) ME 3,200 kcal/kg; CP 19.5%. The dietary treatments were: i) standard broiler ration (Cont); ii) The control diet with 25% of the soybean meal replaced by PBM on an equivalent protein basis (PBM); iii) PBM diet supplemented with 0.5 g/kg of protease (PBMP); iv) PBM diet supplemented with 1 g/kg organic acid (PBMO); and v) PBM diet addition with 0.5 g/kg protease and 1 g/kg organic acid (PBMPO). Results The overall data showed that feed conversion ratio was improved (p

Abstract Genes, expressed as sequences of nucleotides, are susceptible to mutations, some of which can lead to cancer. Machine learning and deep learning methods have emerged as vital tools in identifying mutations associated with cancer. Thyroid cancer ranks as the 5th most prevalent cancer in the USA, with thousands diagnosed annually. This paper presents an ensemble learning model leveraging deep learning techniques such as Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs), and Bi-directional LSTM (Bi-LSTM) to detect thyroid cancer mutations early. The model is trained on a dataset sourced from asia.ensembl.org and IntOGen.org, consisting of 633 samples with 969 mutations across 41 genes, collected from individuals of various demographics. Feature extraction encompasses techniques including Hahn moments, central moments, raw moments, and various matrix-based methods. Evaluation employs three testing methods: self-consistency test (SCT), independent set test (IST), and 10-fold cross-validation test (10-FCVT). The proposed ensemble learning model demonstrates promising performance, achieving 96% accuracy in the independent set test (IST). Statistical measures such as training accuracy, testing accuracy, recall, sensitivity, specificity, Mathew's Correlation Coefficient (MCC), loss, training accuracy, F1 Score, and Cohen's kappa are utilized for comprehensive evaluation.

Abstract Objective Evaluate the impact of SARS-CoV-2 on male fertility. Design Comprehensive analysis of studies exploring virus presence, inflammation, and altered semen parameters. Result(s) While some studies report absence of SARS-CoV-2 in semen, others highlight testicular injury, inflammation, and potential viral orchitis. Scrotal discomfort and altered sperm parameters indicate reproductive implications. Conclusion SARS-CoV-2 may pose significant challenges to male fertility, necessitating further research for a comprehensive understanding of its long-term effects. Limitations include varied testing methods and sample sizes, emphasizing the need for confirmation and detailed post-COVID examinations.

Abstract Pepper agronomic traits serve as pivotal indicators for characterizing germplasm attributes and correlations. It is important to study differential genotypic variation through phenotypic differences of target traits. Whole genome resequencing was used to sequence the whole genome among different individuals of species with known reference genomes and annotations, and based on this, differential analyses of individuals or populations were carried out to identify SNPs for agronomic traits related to pepper. This study conducted a genome-wide association study encompassing 26 key agronomic traits in 182 upward-growing fruits of C. frutescens and C. annuum. The population structure (phylogenetics, population structure, population principal component analysis, genetic relationship) and linkage disequilibrium analysis were realized to ensure the accuracy and reliability of GWAS results, and the optimal statistical model was determined. A total of 929 SNPs significantly associated with 26 agronomic traits, were identified, alongside the detection of 519 candidate genes within 100 kb region adjacent to these SNPs. Additionally, through gene annotation and expression pattern scrutiny, genes such as GAUT1, COP10, and DDB1 correlated with fruit traits in Capsicum frutescens and Capsicum annuum were validated via qRT-PCR. In the CH20 (Capsicum annuum) and YB-4 (Capsicum frutescens) cultivars, GAUT1 and COP10 were cloned with cDNA lengths of 1065 bp and 561 bp, respectively, exhibiting only a small number of single nucleotide variations and nucleotide deletions. This validation provides a robust reference for molecular marker-assisted breeding of pepper agronomic traits, offering both genetic resources and theoretical foundations for future endeavors in molecular marker-assisted breeding for pepper.

This paper focuses on the derivation of a new two-parameter discrete probability distribution. The new model is derived by mixing Poisson and Loai distributions and is named “Poisson Loai Distribution”. The paper explores various mathematical properties of the new model, introducing a count-regression model based on this distribution. The parameters of the model are estimated using the maximum likelihood estimation method. A comprehensive simulation study is utilized to assess the behavior of derived estimators. The importance of the proposed distribution is confirmed through the analysis of three real datasets. It is found that the suggested distribution has the greatest match when compared to all rival distributions, and it may be a viable alternative for assessing dispersed count data.

The worldwide consumption, health-promoting and nutritional properties of mushrooms have been extensively researched over a decade. Although, wide range of edible mushrooms is still unexplored, which can be a valuable source of bioactive compounds in dietary supplements and biopharma industry. Mushrooms represent as dynamic source of nutrients lacking in food from plant or animal origin thus, considered as vital functional food utilized for prevention of numerous diseases. The unique bioactive compounds in mushroom and their anti-inflammatory, anti-tumour and other health attributes have been discussed. The preventive action of mushroom on maintaining the gut health and their property to act as pro, pre or symbiotic is also elucidated. The direct prebiotic activity of mushroom affects gut haemostasis and enhances the gut microbiota. Recent reports on role in improving the brain health and neurological impact by mushroom are mentioned. The role of bioactive components in mushroom with relation to nutrigenomics have been explored. The nutrigenomics has become a crucial tool to assess individuals’ diet according its genetic make-up and thus, cure of several diseases. Undeniably, mushroom in present time is regarded as next-generation wonder food, playing crucial role in sustaining health, thus, an active ingredient of food and nutraceutical industries.

Brassinosteroid (BR), a plant hormone regulating growth, development, and stress responses, emerges as a promising tool for maintaining agricultural production under abiotic stress conditions. In this study, we conducted RNA-seq profiling and morpho-physiological analysis to investigate the molecular cross-talk involved in 24-epibrassinolide (EBR) mediating alleviation of chromium (Cr) stress. EBR inhibited Cr accumulation and reversed Cr-induced phytotoxicity, thereby promoting plant growth. The photosynthetic pigments, chlorophyll fluorescence a, electron transport rate (ETR) and non-photochemical quenching (NPQ) were significantly higher in EBR+Cr treated plants compared to Cr alone. EBR application facilitated the recovery from Cr-induced structural deformities, including the disintegration of cell walls and membranes. Furthermore, under Cr stress, EBR application reduced malondialdehyde (MDA) and reactive oxygen species (ROS) production and accumulation. The levels of glutathione reductase (GR) and the activities of antioxidant enzymes were notably higher in plants subjected to EBR application following Cr stress. In addition, we established a transcriptomic database comprising 2345 differentially expressed genes (DEGs) (1255 upregulated and 1090 downregulated) as a result of EBR application under Cr stress. The transcriptome analysis unveiled key DEGs and the associated pathways, emphasizing the importance of defense responses, genes encoding photosystem I and II, jasmonate signaling, aquaporins, ABC transporters, and cell wall biogenesis-related genes in the response of EBR to Cr stress.

Salinity poses a significant threat to the floral plants. Melatonin has emerged as a potential phytohormone to cope with the adverse effects of salinity on plants due to its multifaceted roles in regulating abiotic stresses. The current study aimed to investigate the impact of melatonin on pansy by modifications in physiological indices under salinity stress. Pansy plants were subjected to salinity stress (0, 50, and 100 mM NaCl) and melatonin (control, 50, and 100 µM). Salinity-induced oxidative stress was apparent through enhanced generation of toxic substances. However, melatonin supplementation improved chlorophyll ‘a’, chlorophyll ‘b’, total chlorophyll, glycine betaine (GB), superoxidase dismutase (SOD), peroxidase (POD), catalases (CAT), and glutathione-reductase (GR), thus promoting improved growth under salinity. The activation of plant defense system and regulation of signaling molecules is indication of lessening of toxic substances within the plant cells. Current findings revealed that supplementation of melatonin enhanced pansy tolerance against salinity stress.

Salinity is a major concern globally and causing reduction in crop growth and development thereby lowering food production. Interestingly, cobalt (Co), a multifunctional non-essential micro-element, has an important role in improving growth and development under salinity stress. In the current study, the effects of Co on the morphological, biochemical, nutritional, and metabolic changes of African marigold plants at two salinity levels were assessed. Two concentrations of Co (C1; 10 mg/L and C2; 20 mg/L) were applied as foliar application to the marigold plants under salinity (S1; 300 mM and S2; 600 mM) stress. The results indicated that salinity substantially reduced the growth by negatively affecting the nutritional and metabolic profile. Interestingly, the C1 application mitigated the salinity effects and improved all the studied parameters including vegetative, nutritional, biochemical and metabolites (amino acids, fatty acids, organic acids, sugars, carotenoids, flavonoids, and terpenoids) by reducing the reactive oxygen species (ROS) and methylglyoxal (MG)-induced oxidative stress, at two salinity levels. The overall results revealed that C1was an ideal dose for marigold plants undergoing salinity stress since C2 application showed some toxicity symptoms under both the salinity levels; with reduced growth and impaired development. Based on the observations, the two different oxidative stress scavenging pathways in marigold are discussed i.e. ROS-scavenging by ascorbate-glutathione (AsA-GSH) cycle and the MG-detoxification by glyoxalase. With the limitations imposed upon the glutathione (GSH) pool size and redox homeostasis, the study indicated that GSH played a critical role in both ROS- and MG-detoxification in marigold plants at both salinity levels.